期刊文献+

一种新的群体一致性算法及平台实现

Research and Realization of a New Group Consistency Algorithm
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摘要 在分析已有两种主要群体一致性算法所存在问题的基础上,给出了一种新的群体一致性算法,该算法是用方差的大小来衡量群体一致性程度,有利于设定统一的阈值,并具体实现了新的群体一致性算法,运用该算法平台对某轿车厂家的一款新车型进行了快速、科学地决策,从新车型的市场反馈来看,该算法是有效的。 By analyzing the two main current group consistency algorithms and studying the method of calculating Vector Re- semblance Degree, a new Group Consistency algorithm is presented in this paper, in which variance is used to calc^ate Group Consistency. It is very convenient to set a unified threshold in the new algorithm. Then, the Group Consistency algorithm is real- ized by using appropriate development tools. Finally, a car manufacturer makes a decision on car styling through the algorithm platform, and from the view of the market feedback of the new car styling, the algorithm is effective.
作者 陈文
出处 《安庆师范学院学报(自然科学版)》 2012年第3期34-38,共5页 Journal of Anqing Teachers College(Natural Science Edition)
基金 安徽省高校省级优秀青年人才基金项目(2012SQRW079)资助
关键词 群体一致性 向量相似度 方差 goup consistency, vector rescmblancc degree, variance
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参考文献9

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